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The book is ideal for students, researchers, and professionals who aim to build a strong mathematical understanding of core concepts in these rapidly growing fields. It bridges the gap between theory and practice by combining mathematical rigor with practical applications.The text delves deeply into essential topics such as probability theory, linear algebra, calculus, and statistical inference - all of which form the backbone of data science.
When you click on links to various merchants on this site and make a purchase, this can result in this site earning a commission. Affiliate programs and affiliations include, but are not limited to, the eBay Partner Network.